AI that ships, not demos.
From customer-facing copilots to internal automations — we design and ship AI features grounded in your data, with the evals and observability to keep them honest.
What we build
Practical AI, end-to-end.
Copilots & assistants
- Customer-facing chatbots grounded in your data
- Internal copilots for support, sales, and ops
- Voice and multimodal interfaces
- Guardrails, evaluation, and observability
Retrieval & search
- RAG pipelines over docs, tickets, and CRMs
- Embeddings, vector stores, and hybrid search
- Document ingestion, chunking, and re-indexing
- Citations and source attribution
Agents & automation
- Tool-using agents wired into your systems
- Workflow automation across SaaS and APIs
- Background jobs, queues, and human-in-the-loop
- Cost and rate-limit aware orchestration
Models & evaluation
- Model selection across Anthropic, Google, OpenAI, open source
- Prompt engineering and structured outputs
- Fine-tuning when off-the-shelf isn't enough
- Eval harnesses to measure quality over time
How we work
From idea to production in three steps.
01
Discover
We map the problem to a concrete AI use case, set success metrics, and identify the data and systems involved.
02
Prototype
A working prototype in weeks — not months. We validate quality and cost before committing to production.
03
Ship & operate
Production deployment with monitoring, evals, and the rails to iterate safely as models and data evolve.